The course covers advanced applications of linear regression (e.g., marginal effects, decomposition methods, measurement error), extensions of linear regression (multilevel and panel data models), and models for discrete outcomes (binary, ordered and multinomial logit). The course emphasizes the craftsmanship of conducting and interpreting these methods. The course requires prior knowledge of linear and logistic regression similar to what is given in Sociology III at Stockholm Univeristy. Students who lack relevant knowledge should take Quantitative Methods in the Social Sciences I, SO7032, which is also preparing for this course.